阅读说明：本技术 层流冷却中提高带钢卷取温度控制精度的水温补偿方法 (Water temperature compensation method for improving control precision of strip steel coiling temperature in laminar cooling ) 是由 刘亚会 王东 金芝波 王波 谢家振 王大云 曾龙华 赵金凯 于 2020-04-30 设计创作，主要内容包括：本发明公开了一种层流冷却中提高带钢卷取温度控制精度的水温补偿方法,包括如下步骤：S1、通过对基于带钢层流冷却模型生产的热轧带钢的历史轧制数据进行分析,得到在不同水温偏差下的遗传系数补偿基准值K；S2、基于带钢层流冷却模型自学习遗传系数,确定带钢整体遗传系数值X；S3、根据遗传系数补偿基准值K以及带钢整体遗传系数值X,计算不同水温偏差下的带钢实际遗传系数补偿值Y＝K*X；S4、根据带钢实际遗传系数补偿值,计算在不同水温偏差下的带钢各段的实际遗传系数值＝各段遗传系数值+带钢实际遗传系数补偿值；S5、根据带钢各段的实际遗传系数值,控制带钢层流冷却模型的开水量。本发明简单可靠,确保了卷取温度控制的稳定,降低了生产成本。(The invention discloses a water temperature compensation method for improving control precision of strip steel coiling temperature in laminar cooling, which comprises the following steps: s1, analyzing historical rolling data of the hot-rolled strip steel produced based on the strip steel laminar cooling model to obtain a genetic coefficient compensation reference value K under different water temperature deviations; s2, determining the integral genetic coefficient value X of the strip steel based on the self-learning genetic coefficient of the strip steel laminar cooling model; s3, calculating the actual genetic coefficient compensation value Y of the strip steel under different water temperature deviations as K X according to the genetic coefficient compensation reference value K and the integral genetic coefficient value X of the strip steel; s4, calculating the actual genetic coefficient value of each section of the strip steel under different water temperature deviations according to the actual genetic coefficient compensation value of the strip steel, namely the genetic coefficient value of each section plus the actual genetic coefficient compensation value of the strip steel; and S5, controlling the boiling water amount of the strip steel laminar cooling model according to the actual genetic coefficient value of each section of the strip steel. The invention is simple and reliable, ensures the stability of coiling temperature control and reduces the production cost.)

1. A water temperature compensation method for improving control precision of strip steel coiling temperature in laminar cooling is characterized by comprising the following steps:

s1, analyzing the genetic coefficient of the hot-rolled strip steel with normal coiling temperature precision by analyzing the historical rolling data of the hot-rolled strip steel produced based on the strip steel laminar cooling model to obtain a genetic coefficient compensation reference value K under different water temperature deviations;

s2, self-learning genetic coefficients based on the strip steel laminar flow cooling model, and selecting the genetic coefficient values of the segments which can be used in different cooling modes as the strip steel integral genetic coefficient value X according to the genetic coefficient values of different segments in the strip steel laminar flow cooling mode;

s3, calculating the actual genetic coefficient compensation value Y of the strip steel under different water temperature deviations to be K X according to the genetic coefficient compensation reference value K under different water temperature deviations determined in the step S1 and the integral genetic coefficient value X of the strip steel determined in the step S2;

s4, calculating the actual genetic coefficient value of each section of the strip steel under different water temperature deviations as the genetic coefficient value of each section plus the actual genetic coefficient compensation value of the strip steel according to the actual genetic coefficient compensation values of the strip steel under different water temperature deviations determined in the step S3;

and S5, controlling the boiling water amount of the strip steel laminar cooling model according to the actual genetic coefficient value of each section of the strip steel.

2. The method of claim 1, wherein in step S1, an average value of the genetic coefficients under different water temperature deviations is obtained, and the genetic coefficient compensation reference value K under different water temperature deviations is calculated from the average value.

3. The water temperature compensation method for improving the control accuracy of the strip coiling temperature in laminar cooling according to claim 1 or 2, characterized in that in step S2, the genetic coefficient value of the 18 th segment is selected as the strip whole genetic coefficient value X.

Technical Field

The invention belongs to the technical field of hot rolling temperature control of strip steel, and particularly relates to a water temperature compensation method for improving the control precision of the coiling temperature of hot rolling strip steel.

Background

The coiling temperature of the hot-rolled strip steel must meet certain process requirements, the tissue and the performance of the strip steel are affected by overhigh or overlow coiling temperature, and the control precision of the coiling temperature is one of important indexes reflecting the control level of a hot-rolling production line. At present, various mathematical models taking laminar cooling temperature control as a core have been researched at home and abroad, and the mathematical models can be generally divided into a temperature setting unit, a feedforward control unit, a feedback control unit and a model self-learning unit according to the characteristics of laminar cooling. The laminar cooling mathematical model can generally meet the coiling temperature precision control requirement under the normal condition. In addition, the laminar flow cooling mathematical model has a self-learning function, and the model learns the genetic coefficient after the same-layer strip steel is produced, and stores the genetic coefficient into a regulation table, so that the model is convenient to learn when the same-layer strip steel is rolled next time. The actual water yield and the value of the genetic coefficient have an inverse relation, the larger the genetic coefficient is, the smaller the model calculation water yield is, and the higher the corresponding coiling temperature is; the smaller the genetic coefficient, the more the model calculates the amount of boiled water, and the lower the corresponding coiling temperature. The calculated boiling water for the conventional cooling pattern genetic coefficient corresponding model is shown in the following table:

in actual production, the first piece or several consecutive pieces after a change of layer or a longer stop of the machine will have a lower precision of the coiling temperature. The main reason is that the phenomenon that the coiling temperature is low or high is caused because the self-learning function of the mathematical model learns the genetic coefficient of the mathematical model and the influence of the water temperature deviation on the cooling effect is not considered. In order to improve the influence of water temperature difference on the control precision of the laminar cooling model, a plurality of hot rolling production lines compensate the water temperature in the laminar cooling model. The existing control method is to compensate the genetic coefficient with a fixed value in the model for different water temperatures. In the existing water temperature compensation function, different compensation coefficients exist for different water temperature deviations of 1-12 months, the water temperature deviation of-2 ℃ to 2 ℃ is not compensated, and the water temperature deviation is larger than 18 ℃ and is compensated according to the deviation of 18 ℃. The specific compensation values are shown in the following table:

however, the existing hot-rolled strip steel coiling temperature control method still has the defect of inaccurate control precision, and the main reason is that the difference between the water quantity required by the strip steel and the genetic coefficient is large due to different strip steel layers, the rolling water temperature is high for the strip steel with small learning genetic coefficient, the learning strip steel water temperature is low, and the model compensates the coefficient on the basis of learning the genetic coefficient of the strip steel, so that the situation that the water quantity is too much and the temperature is too low can be caused. On the contrary, for the strip steel with a small genetic coefficient, the rolling water temperature is low, the learning strip steel water temperature is high, and the situation that the coiling temperature is too high due to the fact that the water quantity is too small can be caused after the model compensates one coefficient. Meanwhile, for some strip steels with larger genetic coefficients, because the genetic coefficients are larger, after a fixed coefficient is compensated, the compensation value has smaller influence on the whole genetic coefficients, and even if the difference of the water temperature is larger, the actual water yield change is not large, so that the abnormal condition of the coiling temperature precision is caused.

The above discussion is intended to introduce the reader to various aspects of art that may be related to various aspects of the present invention, which are described and/or claimed below, and is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present invention, and is therefore to be understood in this light, and not as an admission of prior art.

Disclosure of Invention

In order to solve the technical problem, the invention provides a water temperature compensation method for improving the control precision of the strip steel coiling temperature in laminar cooling.

The purpose of the invention is realized by the following technical scheme: the water temperature compensation method for improving the control precision of the strip steel coiling temperature in laminar cooling comprises the following steps:

s1, analyzing the genetic coefficient of the hot-rolled strip steel with normal coiling temperature precision by analyzing the historical rolling data of the hot-rolled strip steel produced based on the strip steel laminar cooling model to obtain a genetic coefficient compensation reference value K under different water temperature deviations;

s2, self-learning genetic coefficients based on the strip steel laminar flow cooling model, and selecting the genetic coefficient values of the segments which can be used in different cooling modes as the strip steel integral genetic coefficient value X according to the genetic coefficient values of different segments in the strip steel laminar flow cooling mode;

s3, calculating the actual genetic coefficient compensation value Y of the strip steel under different water temperature deviations to be K X according to the genetic coefficient compensation reference value K under different water temperature deviations determined in the step S1 and the integral genetic coefficient value X of the strip steel determined in the step S2;

s4, calculating the actual genetic coefficient value of each section of the strip steel under different water temperature deviations as the genetic coefficient value of each section plus the actual genetic coefficient compensation value of the strip steel according to the actual genetic coefficient compensation values of the strip steel under different water temperature deviations determined in the step S3;

and S5, controlling the boiling water amount of the strip steel laminar cooling model according to the actual genetic coefficient value of each section of the strip steel.

As a further improvement, in step S1, an average value of the genetic coefficients under different water temperature deviations is obtained, and the genetic coefficient compensation reference value K under different water temperature deviations is calculated according to the average value.

As a further improvement, in step S2, the genetic coefficient value of the 18 th section is selected as the strip steel overall genetic coefficient value X.

The invention provides a water temperature compensation method for improving control precision of strip steel coiling temperature in laminar cooling, which comprises the following steps: s1, analyzing the genetic coefficient of the hot-rolled strip steel with normal coiling temperature precision by analyzing the historical rolling data of the hot-rolled strip steel produced based on the strip steel laminar cooling model to obtain a genetic coefficient compensation reference value K under different water temperature deviations; s2, self-learning genetic coefficients based on the strip steel laminar flow cooling model, and selecting the genetic coefficient values of the segments which can be used in different cooling modes as the strip steel integral genetic coefficient value X according to the genetic coefficient values of different segments in the strip steel laminar flow cooling mode; s3, calculating the actual genetic coefficient compensation value Y of the strip steel under different water temperature deviations to be K X according to the genetic coefficient compensation reference value K under different water temperature deviations determined in the step S1 and the integral genetic coefficient value X of the strip steel determined in the step S2; s4, calculating the actual genetic coefficient value of each section of the strip steel under different water temperature deviations as the genetic coefficient value of each section plus the actual genetic coefficient compensation value of the strip steel according to the actual genetic coefficient compensation values of the strip steel under different water temperature deviations determined in the step S3; and S5, controlling the boiling water amount of the strip steel laminar cooling model according to the actual genetic coefficient value of each section of the strip steel. The water temperature compensation method for improving the control precision of the strip steel coiling temperature in laminar cooling can compensate the water temperature deviation coefficients of the strip steel coiling temperature of different water temperature deviations, different grades and different steel types, has high coiling target temperature control precision after reasonably compensating the genetic coefficient, can greatly reduce the situation that the control precision of the coiling temperature of a plurality of pieces of strip steel before rolling due to gauge change and long-time shutdown is not high, is simple and reliable, ensures the stability of the coiling temperature control of a production line, and reduces the production cost.

Drawings

The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.

FIG. 1 is a schematic diagram of genetic coefficient segmentation of a strip steel laminar cooling model of the invention.

Detailed Description

In order to make those skilled in the art better understand the technical solution of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings and specific embodiments, and it is to be noted that the embodiments and features of the embodiments of the present application can be combined with each other without conflict.

The core of the invention is to provide a water temperature compensation method for improving the control precision of the strip steel coiling temperature in laminar cooling, which compensates the genetic coefficient according to the direct proportion relation of the self-learning genetic coefficient of the laminar cooling model aiming at different water temperature deviations. Under the same water temperature deviation, the larger the genetic coefficient is, the larger the compensation value of the water temperature deviation coefficient is; conversely, the smaller the genetic coefficient is, the smaller the water temperature deviation coefficient compensation value is. Thereby ensuring that the compensation coefficient is in a reasonable range and improving the control precision of the coiling temperature of the strip steel.

Referring to fig. 1, a water temperature compensation method for improving control accuracy of strip steel coiling temperature in laminar cooling according to an embodiment of the present invention includes the following steps:

s1, analyzing the genetic coefficient of the hot-rolled strip steel with normal coiling temperature precision by analyzing the historical rolling data of the hot-rolled strip steel produced based on the strip steel laminar cooling model, acquiring the average value of the genetic coefficient under different water temperature deviations, and calculating a relatively reasonable genetic coefficient compensation reference value K under different water temperature deviations according to the average value; the genetic coefficient compensation reference value K corresponding to different water temperature deviations is shown in the following table:

deviation of water temperature	Compensation reference value of genetic coefficient
		△T＜-18℃	0.35
-18℃≤△T≤-16℃	0.35
		-15℃≤△T≤-13℃	0.30
-12℃≤△T≤-10℃	0.25
		-9℃≤△T≤-7℃	0.15
-6℃≤△T≤-5℃	0.08
		-4℃≤△T≤-3℃	0.06
△T＝-2℃	0.04
		-1℃≤△T≤1℃	0
△T＝2℃	-0.04
		3℃≤△T≤4℃	-0.06
5℃≤△T≤6℃	-0.08
		7℃≤△T≤9℃	-0.10
10℃≤△T≤12℃	-0.15
		13℃≤△T≤15℃	-0.20
16℃≤△T≤18℃	-0.25
		△T＞18℃	-0.25

S2, self-learning genetic coefficients based on the strip steel laminar flow cooling model, and selecting the genetic coefficient values of the segments which can be used in different cooling modes as the strip steel integral genetic coefficient value X according to the genetic coefficient values of different segments in the strip steel laminar flow cooling mode. In the strip steel laminar flow cooling model, self-learning genetic coefficients are different according to strip steel cooling mode segmentation, the genetic coefficients of U-shaped cooling strip steel are divided into a head part, a middle part and a tail part, and the genetic coefficients of conventional cooling and two-segment cooling are divided into the middle part and the tail part. As shown in the figure 1, the genetic coefficient of the U-shaped cooling strip steel is segmented and schematically shown, wherein the sections 1-10 represent the head genetic coefficient, the sections 11-80 represent the middle genetic coefficient, and the sections 81-90 represent the tail genetic coefficient. Because the 18 th section of the genetic coefficient of the strip steel under different cooling modes can be normally used, the genetic coefficient value of the 18 th section is selected as the integral genetic coefficient value X of the strip steel.

S3, calculating the actual genetic coefficient compensation value Y of the strip steel under different water temperature deviations to be K X according to the genetic coefficient compensation reference value K under different water temperature deviations determined in the step S1 and the integral genetic coefficient value X of the strip steel determined in the step S2; under different water temperature deviations, according to different learning genetic coefficients of the strip steel, the actual genetic coefficient compensation value of the strip steel is the genetic coefficient value of the 18 th section of the learning strip steel multiplied by the genetic coefficient compensation reference value. Therefore, coefficient compensation can be carried out according to the direct proportion relation according to the genetic coefficient of the learned strip steel, under the same water temperature deviation, the larger the genetic coefficient is, the larger the actual genetic coefficient compensation value is, otherwise, the smaller the genetic coefficient is, the smaller the actual genetic coefficient compensation value is, and therefore the compensated coefficient is ensured to be in a reasonable range, and the control precision of the strip steel coiling temperature is improved.

S4, calculating the actual genetic coefficient value of each section of the strip steel under different water temperature deviations as the genetic coefficient value of each section plus the actual genetic coefficient compensation value of the strip steel according to the actual genetic coefficient compensation values of the strip steel under different water temperature deviations determined in the step S3;

and S5, controlling the boiling water amount of the strip steel laminar cooling model according to the actual genetic coefficient value of each section of the strip steel.

Through the comparison and analysis of the coiling temperature precision data of the production performance, after the method is used, the coiling temperature precision of the strip steel under different water temperature deviations is greatly improved, the manual intervention caused by unreasonable compensation of the water temperature deviation is avoided, the automatic control level of the coiling temperature is improved, and the coiling temperature precision under different water temperature deviations is compared as shown in the following table:

the water temperature compensation method for improving the control precision of the strip steel coiling temperature in laminar cooling provided by the embodiment of the invention can compensate the water temperature deviation coefficients of the strip steel coiling temperature of different water temperature deviations, different grades and different steel types, has high coiling target temperature control precision after reasonably compensating the genetic coefficient, can greatly reduce the situation that the coiling temperature control precision of a plurality of pieces of strip steel before rolling after long-time shutdown is not high due to gauge change, is simple and reliable, ensures the stability of the coiling temperature control of a production line, and reduces the production cost.

In the description above, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore should not be construed as limiting the scope of the present invention.

In conclusion, although the present invention has been described with reference to the preferred embodiments, it should be noted that, although various changes and modifications may be made by those skilled in the art, they should be included in the scope of the present invention unless they depart from the scope of the present invention.